Overview

Brought to you by YData

Dataset statistics

Number of variables16
Number of observations8232
Missing cells7633
Missing cells (%)5.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.0 MiB
Average record size in memory3.2 KiB

Variable types

Text6
Categorical4
Numeric6

Alerts

isTrain has constant value "1.0" Constant
avgJtskX is highly overall correlated with avgLon and 1 other fieldsHigh correlation
avgJtskY is highly overall correlated with avgLat and 1 other fieldsHigh correlation
avgLat is highly overall correlated with avgJtskY and 1 other fieldsHigh correlation
avgLon is highly overall correlated with avgJtskX and 1 other fieldsHigh correlation
cis is highly overall correlated with idosCategory and 1 other fieldsHigh correlation
district_code is highly overall correlated with avgJtskX and 4 other fieldsHigh correlation
idosCategory is highly overall correlated with cis and 1 other fieldsHigh correlation
mainTrafficType is highly overall correlated with cis and 1 other fieldsHigh correlation
node is highly overall correlated with district_codeHigh correlation
idosCategory is highly imbalanced (62.4%) Imbalance
mainTrafficType is highly imbalanced (77.1%) Imbalance
isTrain has 7633 (92.7%) missing values Missing
stops has unique values Unique

Reproduction

Analysis started2025-07-24 11:45:24.933812
Analysis finished2025-07-24 11:45:29.788812
Duration4.86 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Distinct8032
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size858.6 KiB
2025-07-24T11:45:29.982893image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length44
Median length36
Mean length15.797376
Min length3

Characters and Unicode

Total characters130044
Distinct characters96
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7850 ?
Unique (%)95.4%

Sample

1st rowAdamov
2nd rowAlbertov
3rd rowAmetystová
4th rowAmforová
5th rowAnděl
ValueCountFrequency (%)
u 171
 
1.4%
dolní 76
 
0.6%
nad 69
 
0.6%
na 64
 
0.5%
náměstí 63
 
0.5%
lhota 56
 
0.5%
kutná 48
 
0.4%
nádraží 48
 
0.4%
mladá 47
 
0.4%
pod 46
 
0.4%
Other values (8389) 11559
94.4%
2025-07-24T11:45:30.292753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 10190
 
7.8%
e 8974
 
6.9%
a 7130
 
5.5%
n 6085
 
4.7%
, 5949
 
4.6%
i 5833
 
4.5%
c 5203
 
4.0%
v 5142
 
4.0%
l 4910
 
3.8%
r 4855
 
3.7%
Other values (86) 65773
50.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 130044
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 10190
 
7.8%
e 8974
 
6.9%
a 7130
 
5.5%
n 6085
 
4.7%
, 5949
 
4.6%
i 5833
 
4.5%
c 5203
 
4.0%
v 5142
 
4.0%
l 4910
 
3.8%
r 4855
 
3.7%
Other values (86) 65773
50.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 130044
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 10190
 
7.8%
e 8974
 
6.9%
a 7130
 
5.5%
n 6085
 
4.7%
, 5949
 
4.6%
i 5833
 
4.5%
c 5203
 
4.0%
v 5142
 
4.0%
l 4910
 
3.8%
r 4855
 
3.7%
Other values (86) 65773
50.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 130044
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 10190
 
7.8%
e 8974
 
6.9%
a 7130
 
5.5%
n 6085
 
4.7%
, 5949
 
4.6%
i 5833
 
4.5%
c 5203
 
4.0%
v 5142
 
4.0%
l 4910
 
3.8%
r 4855
 
3.7%
Other values (86) 65773
50.6%

district_code
Categorical

High correlation 

Distinct40
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size410.1 KiB
AB
1471 
BN
763 
PB
685 
PH
545 
KH
490 
Other values (35)
4278 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters16464
Distinct characters20
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKH
2nd rowAB
3rd rowAB
4th rowAB
5th rowAB

Common Values

ValueCountFrequency (%)
AB 1471
17.9%
BN 763
 
9.3%
PB 685
 
8.3%
PH 545
 
6.6%
KH 490
 
6.0%
MB 464
 
5.6%
PZ 457
 
5.6%
KD 421
 
5.1%
ME 375
 
4.6%
BE 351
 
4.3%
Other values (30) 2210
26.8%

Length

2025-07-24T11:45:30.471213image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
ab 1471
17.9%
bn 763
 
9.3%
pb 685
 
8.3%
ph 545
 
6.6%
kh 490
 
6.0%
mb 464
 
5.6%
pz 457
 
5.6%
kd 421
 
5.1%
me 375
 
4.6%
be 351
 
4.3%
Other values (30) 2210
26.8%

Most occurring characters

ValueCountFrequency (%)
B 4135
25.1%
A 1942
11.8%
P 1885
11.4%
K 1314
 
8.0%
N 1238
 
7.5%
H 1135
 
6.9%
M 920
 
5.6%
E 791
 
4.8%
Z 457
 
2.8%
D 439
 
2.7%
Other values (10) 2208
13.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 16464
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
B 4135
25.1%
A 1942
11.8%
P 1885
11.4%
K 1314
 
8.0%
N 1238
 
7.5%
H 1135
 
6.9%
M 920
 
5.6%
E 791
 
4.8%
Z 457
 
2.8%
D 439
 
2.7%
Other values (10) 2208
13.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 16464
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
B 4135
25.1%
A 1942
11.8%
P 1885
11.4%
K 1314
 
8.0%
N 1238
 
7.5%
H 1135
 
6.9%
M 920
 
5.6%
E 791
 
4.8%
Z 457
 
2.8%
D 439
 
2.7%
Other values (10) 2208
13.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 16464
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
B 4135
25.1%
A 1942
11.8%
P 1885
11.4%
K 1314
 
8.0%
N 1238
 
7.5%
H 1135
 
6.9%
M 920
 
5.6%
E 791
 
4.8%
Z 457
 
2.8%
D 439
 
2.7%
Other values (10) 2208
13.4%

idosCategory
Categorical

High correlation  Imbalance 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size442.3 KiB
301003
7633 
600003
 
599

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters49392
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row301003
2nd row301003
3rd row301003
4th row301003
5th row301003

Common Values

ValueCountFrequency (%)
301003 7633
92.7%
600003 599
 
7.3%

Length

2025-07-24T11:45:30.528873image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-24T11:45:30.569623image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
301003 7633
92.7%
600003 599
 
7.3%

Most occurring characters

ValueCountFrequency (%)
0 25295
51.2%
3 15865
32.1%
1 7633
 
15.5%
6 599
 
1.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 49392
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 25295
51.2%
3 15865
32.1%
1 7633
 
15.5%
6 599
 
1.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 49392
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 25295
51.2%
3 15865
32.1%
1 7633
 
15.5%
6 599
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 49392
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 25295
51.2%
3 15865
32.1%
1 7633
 
15.5%
6 599
 
1.2%
Distinct8104
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size865.0 KiB
2025-07-24T11:45:30.750254image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length45
Median length36
Mean length16.115039
Min length3

Characters and Unicode

Total characters132659
Distinct characters96
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7976 ?
Unique (%)96.9%

Sample

1st rowAdamov
2nd rowAlbertov
3rd rowAmetystová
4th rowAmforová
5th rowAnděl
ValueCountFrequency (%)
u 171
 
1.3%
bn 87
 
0.7%
dolní 76
 
0.6%
pz 64
 
0.5%
na 64
 
0.5%
náměstí 64
 
0.5%
lhota 56
 
0.4%
ra 48
 
0.4%
kutná 48
 
0.4%
kh 47
 
0.4%
Other values (8429) 12016
94.3%
2025-07-24T11:45:31.075836image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 10170
 
7.7%
e 8983
 
6.8%
a 7076
 
5.3%
n 6087
 
4.6%
, 5949
 
4.5%
i 5833
 
4.4%
c 5204
 
3.9%
v 5133
 
3.9%
l 4913
 
3.7%
r 4848
 
3.7%
Other values (86) 68463
51.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 132659
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 10170
 
7.7%
e 8983
 
6.8%
a 7076
 
5.3%
n 6087
 
4.6%
, 5949
 
4.5%
i 5833
 
4.4%
c 5204
 
3.9%
v 5133
 
3.9%
l 4913
 
3.7%
r 4848
 
3.7%
Other values (86) 68463
51.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 132659
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 10170
 
7.7%
e 8983
 
6.8%
a 7076
 
5.3%
n 6087
 
4.6%
, 5949
 
4.5%
i 5833
 
4.4%
c 5204
 
3.9%
v 5133
 
3.9%
l 4913
 
3.7%
r 4848
 
3.7%
Other values (86) 68463
51.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 132659
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 10170
 
7.7%
e 8983
 
6.8%
a 7076
 
5.3%
n 6087
 
4.6%
, 5949
 
4.5%
i 5833
 
4.4%
c 5204
 
3.9%
v 5133
 
3.9%
l 4913
 
3.7%
r 4848
 
3.7%
Other values (86) 68463
51.6%
Distinct8028
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size888.5 KiB
2025-07-24T11:45:31.277974image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length65
Median length47
Mean length16.768343
Min length3

Characters and Unicode

Total characters138037
Distinct characters96
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7842 ?
Unique (%)95.3%

Sample

1st rowAdamov
2nd rowAlbertov
3rd rowAmetystová
4th rowAmforová
5th rowAnděl
ValueCountFrequency (%)
nad 356
 
2.7%
u 174
 
1.3%
stanice 122
 
0.9%
nádraží 88
 
0.7%
náměstí 87
 
0.7%
pod 77
 
0.6%
dolní 76
 
0.6%
zastávka 75
 
0.6%
na 64
 
0.5%
úřad 62
 
0.5%
Other values (8428) 12073
91.1%
2025-07-24T11:45:31.622606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 10713
 
7.8%
e 10096
 
7.3%
a 8198
 
5.9%
n 6757
 
4.9%
i 6250
 
4.5%
, 5949
 
4.3%
v 5570
 
4.0%
c 5433
 
3.9%
5024
 
3.6%
r 4978
 
3.6%
Other values (86) 69069
50.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 138037
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 10713
 
7.8%
e 10096
 
7.3%
a 8198
 
5.9%
n 6757
 
4.9%
i 6250
 
4.5%
, 5949
 
4.3%
v 5570
 
4.0%
c 5433
 
3.9%
5024
 
3.6%
r 4978
 
3.6%
Other values (86) 69069
50.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 138037
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 10713
 
7.8%
e 10096
 
7.3%
a 8198
 
5.9%
n 6757
 
4.9%
i 6250
 
4.5%
, 5949
 
4.3%
v 5570
 
4.0%
c 5433
 
3.9%
5024
 
3.6%
r 4978
 
3.6%
Other values (86) 69069
50.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 138037
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 10713
 
7.8%
e 10096
 
7.3%
a 8198
 
5.9%
n 6757
 
4.9%
i 6250
 
4.5%
, 5949
 
4.3%
v 5570
 
4.0%
c 5433
 
3.9%
5024
 
3.6%
r 4978
 
3.6%
Other values (86) 69069
50.0%
Distinct8161
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size866.1 KiB
2025-07-24T11:45:31.830539image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length45
Median length36
Mean length16.171161
Min length3

Characters and Unicode

Total characters133121
Distinct characters96
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8090 ?
Unique (%)98.3%

Sample

1st rowAdamov
2nd rowAlbertov
3rd rowAmetystová
4th rowAmforová
5th rowAnděl
ValueCountFrequency (%)
u 171
 
1.3%
bn 87
 
0.7%
dolní 76
 
0.6%
vlak 66
 
0.5%
pz 64
 
0.5%
náměstí 64
 
0.5%
na 64
 
0.5%
lhota 56
 
0.4%
kutná 48
 
0.4%
ra 48
 
0.4%
Other values (8430) 12063
94.2%
2025-07-24T11:45:32.105323image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
o 10170
 
7.6%
e 8983
 
6.7%
a 7142
 
5.4%
n 6087
 
4.6%
, 5949
 
4.5%
i 5833
 
4.4%
c 5204
 
3.9%
v 5199
 
3.9%
l 4979
 
3.7%
r 4848
 
3.6%
Other values (86) 68727
51.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 133121
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
o 10170
 
7.6%
e 8983
 
6.7%
a 7142
 
5.4%
n 6087
 
4.6%
, 5949
 
4.5%
i 5833
 
4.4%
c 5204
 
3.9%
v 5199
 
3.9%
l 4979
 
3.7%
r 4848
 
3.6%
Other values (86) 68727
51.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 133121
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
o 10170
 
7.6%
e 8983
 
6.7%
a 7142
 
5.4%
n 6087
 
4.6%
, 5949
 
4.5%
i 5833
 
4.4%
c 5204
 
3.9%
v 5199
 
3.9%
l 4979
 
3.7%
r 4848
 
3.6%
Other values (86) 68727
51.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 133121
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
o 10170
 
7.6%
e 8983
 
6.7%
a 7142
 
5.4%
n 6087
 
4.6%
, 5949
 
4.5%
i 5833
 
4.4%
c 5204
 
3.9%
v 5199
 
3.9%
l 4979
 
3.7%
r 4848
 
3.6%
Other values (86) 68727
51.6%

node
Real number (ℝ)

High correlation 

Distinct7781
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8065.5462
Minimum1
Maximum32637
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size64.4 KiB
2025-07-24T11:45:32.183432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile402.55
Q12068.75
median4994.5
Q39030.25
95-th percentile31964.45
Maximum32637
Range32636
Interquartile range (IQR)6961.5

Descriptive statistics

Standard deviation9542.1147
Coefficient of variation (CV)1.1830711
Kurtosis1.9994163
Mean8065.5462
Median Absolute Deviation (MAD)2977
Skewness1.837619
Sum66395576
Variance91051953
MonotonicityNot monotonic
2025-07-24T11:45:32.305494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
237 5
 
0.1%
1040 3
 
< 0.1%
174 3
 
< 0.1%
2881 3
 
< 0.1%
4166 3
 
< 0.1%
2985 3
 
< 0.1%
2870 3
 
< 0.1%
3287 3
 
< 0.1%
2978 3
 
< 0.1%
9291 3
 
< 0.1%
Other values (7771) 8200
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
ValueCountFrequency (%)
32637 1
< 0.1%
32636 1
< 0.1%
32635 1
< 0.1%
32634 1
< 0.1%
32633 1
< 0.1%
32632 1
< 0.1%
32631 1
< 0.1%
32630 1
< 0.1%
32629 1
< 0.1%
32628 1
< 0.1%

cis
Real number (ℝ)

High correlation 

Distinct8229
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean428170.18
Minimum0
Maximum5476944
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size64.4 KiB
2025-07-24T11:45:32.386168image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3681.55
Q117661.75
median33941.5
Q355251.25
95-th percentile5454443.2
Maximum5476944
Range5476944
Interquartile range (IQR)37589.5

Descriptive statistics

Standard deviation1409265.5
Coefficient of variation (CV)3.2913677
Kurtosis8.8233994
Mean428170.18
Median Absolute Deviation (MAD)18287.5
Skewness3.2891577
Sum3.5246969 × 109
Variance1.9860293 × 1012
MonotonicityNot monotonic
2025-07-24T11:45:32.467284image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
891 3
 
< 0.1%
11825 2
 
< 0.1%
28961 1
 
< 0.1%
59252 1
 
< 0.1%
5456310 1
 
< 0.1%
5476124 1
 
< 0.1%
50721 1
 
< 0.1%
29083 1
 
< 0.1%
28995 1
 
< 0.1%
28996 1
 
< 0.1%
Other values (8219) 8219
99.8%
ValueCountFrequency (%)
0 1
< 0.1%
33 1
< 0.1%
108 1
< 0.1%
109 1
< 0.1%
110 1
< 0.1%
111 1
< 0.1%
198 1
< 0.1%
199 1
< 0.1%
230 1
< 0.1%
240 1
< 0.1%
ValueCountFrequency (%)
5476944 1
< 0.1%
5476934 1
< 0.1%
5476924 1
< 0.1%
5476914 1
< 0.1%
5476904 1
< 0.1%
5476894 1
< 0.1%
5476884 1
< 0.1%
5476874 1
< 0.1%
5476864 1
< 0.1%
5476854 1
< 0.1%

avgLat
Real number (ℝ)

High correlation 

Distinct8070
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.025127
Minimum49.013847
Maximum50.95622
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size64.4 KiB
2025-07-24T11:45:32.550887image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum49.013847
5-th percentile49.564798
Q149.836444
median50.043578
Q350.183306
95-th percentile50.504125
Maximum50.95622
Range1.9423726
Interquartile range (IQR)0.34686218

Descriptive statistics

Standard deviation0.28324109
Coefficient of variation (CV)0.0056619764
Kurtosis0.20375943
Mean50.025127
Median Absolute Deviation (MAD)0.17216735
Skewness0.072797519
Sum411806.85
Variance0.080225515
MonotonicityNot monotonic
2025-07-24T11:45:32.641693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.08864 3
 
< 0.1%
50.0879364 3
 
< 0.1%
50.0544662 3
 
< 0.1%
50.0761337 3
 
< 0.1%
50.17415 2
 
< 0.1%
50.0836258 2
 
< 0.1%
49.57203 2
 
< 0.1%
50.0357361 2
 
< 0.1%
49.8427773 2
 
< 0.1%
49.6022644 2
 
< 0.1%
Other values (8060) 8208
99.7%
ValueCountFrequency (%)
49.0138474 1
< 0.1%
49.03238 1
< 0.1%
49.0480728 1
< 0.1%
49.0559769 1
< 0.1%
49.0653534 1
< 0.1%
49.08231 1
< 0.1%
49.10618 1
< 0.1%
49.11492 1
< 0.1%
49.1197472 1
< 0.1%
49.12162 1
< 0.1%
ValueCountFrequency (%)
50.95622 1
< 0.1%
50.95116 1
< 0.1%
50.9445572 1
< 0.1%
50.9317 1
< 0.1%
50.93116 1
< 0.1%
50.9252739 1
< 0.1%
50.9242554 1
< 0.1%
50.9235153 1
< 0.1%
50.9219131 1
< 0.1%
50.9210167 1
< 0.1%

avgLon
Real number (ℝ)

High correlation 

Distinct8202
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.544262
Minimum12.864397
Maximum15.908238
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size64.4 KiB
2025-07-24T11:45:32.725863image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum12.864397
5-th percentile13.768167
Q114.262443
median14.514163
Q314.883565
95-th percentile15.31992
Maximum15.908238
Range3.0438405
Interquartile range (IQR)0.6211219

Descriptive statistics

Standard deviation0.46902561
Coefficient of variation (CV)0.032248154
Kurtosis-0.14590075
Mean14.544262
Median Absolute Deviation (MAD)0.3112564
Skewness-0.089532181
Sum119728.37
Variance0.21998502
MonotonicityNot monotonic
2025-07-24T11:45:32.811308image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.4197159 2
 
< 0.1%
14.5068054 2
 
< 0.1%
14.392519 2
 
< 0.1%
14.5558853 2
 
< 0.1%
15.1540022 2
 
< 0.1%
14.3552094 2
 
< 0.1%
14.1231174 2
 
< 0.1%
14.7125244 2
 
< 0.1%
14.4594078 2
 
< 0.1%
15.0984955 2
 
< 0.1%
Other values (8192) 8212
99.8%
ValueCountFrequency (%)
12.864397 1
< 0.1%
12.8702087 1
< 0.1%
12.875968 1
< 0.1%
12.8830929 1
< 0.1%
12.8889828 1
< 0.1%
12.919836 1
< 0.1%
12.9446735 1
< 0.1%
12.9550972 1
< 0.1%
12.9600859 1
< 0.1%
12.9610386 1
< 0.1%
ValueCountFrequency (%)
15.9082375 1
< 0.1%
15.841855 1
< 0.1%
15.8194809 1
< 0.1%
15.8188763 1
< 0.1%
15.8166561 1
< 0.1%
15.8150206 1
< 0.1%
15.8121967 1
< 0.1%
15.8000011 1
< 0.1%
15.7861567 1
< 0.1%
15.786087 1
< 0.1%

avgJtskX
Real number (ℝ)

High correlation 

Distinct8212
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-735036.54
Minimum-850520.75
Maximum-631065.7
Zeros0
Zeros (%)0.0%
Negative8232
Negative (%)100.0%
Memory size64.4 KiB
2025-07-24T11:45:32.897696image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-850520.75
5-th percentile-791567.1
Q1-755977.43
median-736874.85
Q3-710593.24
95-th percentile-678926.63
Maximum-631065.7
Range219455.05
Interquartile range (IQR)45384.188

Descriptive statistics

Standard deviation34155.8
Coefficient of variation (CV)-0.046468165
Kurtosis-0.2268371
Mean-735036.54
Median Absolute Deviation (MAD)22279.9
Skewness-0.050381352
Sum-6.0508208 × 109
Variance1.1666186 × 109
MonotonicityNot monotonic
2025-07-24T11:45:32.983808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-704513 2
 
< 0.1%
-745102.1 2
 
< 0.1%
-760433.75 2
 
< 0.1%
-726597.75 2
 
< 0.1%
-781698.75 2
 
< 0.1%
-732028.25 2
 
< 0.1%
-777237.4 2
 
< 0.1%
-746083.75 2
 
< 0.1%
-744023.1 2
 
< 0.1%
-742898.5 2
 
< 0.1%
Other values (8202) 8212
99.8%
ValueCountFrequency (%)
-850520.75 1
< 0.1%
-850095.9 1
< 0.1%
-849622.25 1
< 0.1%
-849088.8 1
< 0.1%
-848628.25 1
< 0.1%
-846922.25 1
< 0.1%
-845262.25 1
< 0.1%
-844510.1 1
< 0.1%
-844292.1 1
< 0.1%
-844152.563 1
< 0.1%
ValueCountFrequency (%)
-631065.7 1
< 0.1%
-635185.6 1
< 0.1%
-636097.9 1
< 0.1%
-636553.063 1
< 0.1%
-636820.9 1
< 0.1%
-636913.5 1
< 0.1%
-639055.063 1
< 0.1%
-639240 1
< 0.1%
-639360.9 1
< 0.1%
-640381.7 1
< 0.1%

avgJtskY
Real number (ℝ)

High correlation 

Distinct8195
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1050966.6
Minimum-1157066.8
Maximum-948531.1
Zeros0
Zeros (%)0.0%
Negative8232
Negative (%)100.0%
Memory size64.4 KiB
2025-07-24T11:45:33.069020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1157066.8
5-th percentile-1101240.5
Q1-1072901.5
median-1048120.2
Q3-1032270.3
95-th percentile-1000290.4
Maximum-948531.1
Range208535.65
Interquartile range (IQR)40631.203

Descriptive statistics

Standard deviation30897.284
Coefficient of variation (CV)-0.029398919
Kurtosis-0.072843149
Mean-1050966.6
Median Absolute Deviation (MAD)20544.5
Skewness-0.0037400865
Sum-8.6515574 × 109
Variance9.5464214 × 108
MonotonicityNot monotonic
2025-07-24T11:45:33.156058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1055588.88 2
 
< 0.1%
-1053778.25 2
 
< 0.1%
-1053816 2
 
< 0.1%
-1098974 2
 
< 0.1%
-1074099 2
 
< 0.1%
-1090654.5 2
 
< 0.1%
-1056026 2
 
< 0.1%
-1067687.75 2
 
< 0.1%
-1010547.63 2
 
< 0.1%
-1068767.5 2
 
< 0.1%
Other values (8185) 8212
99.8%
ValueCountFrequency (%)
-1157066.75 1
< 0.1%
-1155385 1
< 0.1%
-1153989.25 1
< 0.1%
-1152071.25 1
< 0.1%
-1151487.5 1
< 0.1%
-1150462.75 1
< 0.1%
-1150143.75 1
< 0.1%
-1150069.5 1
< 0.1%
-1146675.38 1
< 0.1%
-1145958.13 1
< 0.1%
ValueCountFrequency (%)
-948531.1 1
< 0.1%
-949109.75 1
< 0.1%
-949751.9 1
< 0.1%
-953818.2 1
< 0.1%
-954020.75 1
< 0.1%
-954590.4 1
< 0.1%
-955029.6 1
< 0.1%
-956290.9 1
< 0.1%
-956977.8 1
< 0.1%
-957209.6 1
< 0.1%
Distinct1456
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Memory size615.6 KiB
2025-07-24T11:45:33.349767image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length28
Median length22
Mean length7.9031827
Min length3

Characters and Unicode

Total characters65059
Distinct characters68
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique343 ?
Unique (%)4.2%

Sample

1st rowAdamov
2nd rowPraha
3rd rowPraha
4th rowPraha
5th rowPraha
ValueCountFrequency (%)
praha 1471
 
15.2%
příbram 93
 
1.0%
n.vlt 89
 
0.9%
hora 76
 
0.8%
n.sáz 74
 
0.8%
dolní 67
 
0.7%
benešov 67
 
0.7%
n.l 61
 
0.6%
kladno 60
 
0.6%
říčany 59
 
0.6%
Other values (1486) 7578
78.2%
2025-07-24T11:45:33.610229image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 5730
 
8.8%
e 5095
 
7.8%
o 4707
 
7.2%
r 3585
 
5.5%
n 3137
 
4.8%
i 3081
 
4.7%
c 2682
 
4.1%
v 2570
 
4.0%
h 2412
 
3.7%
l 2283
 
3.5%
Other values (58) 29777
45.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 65059
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 5730
 
8.8%
e 5095
 
7.8%
o 4707
 
7.2%
r 3585
 
5.5%
n 3137
 
4.8%
i 3081
 
4.7%
c 2682
 
4.1%
v 2570
 
4.0%
h 2412
 
3.7%
l 2283
 
3.5%
Other values (58) 29777
45.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 65059
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 5730
 
8.8%
e 5095
 
7.8%
o 4707
 
7.2%
r 3585
 
5.5%
n 3137
 
4.8%
i 3081
 
4.7%
c 2682
 
4.1%
v 2570
 
4.0%
h 2412
 
3.7%
l 2283
 
3.5%
Other values (58) 29777
45.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 65059
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 5730
 
8.8%
e 5095
 
7.8%
o 4707
 
7.2%
r 3585
 
5.5%
n 3137
 
4.8%
i 3081
 
4.7%
c 2682
 
4.1%
v 2570
 
4.0%
h 2412
 
3.7%
l 2283
 
3.5%
Other values (58) 29777
45.8%

mainTrafficType
Categorical

High correlation  Imbalance 

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size421.0 KiB
bus
7124 
train
 
590
tram
 
248
undefined
 
184
trolleybus
 
27
Other values (7)
 
59

Length

Max length10
Median length3
Mean length3.3520408
Min length3

Characters and Unicode

Total characters27594
Distinct characters18
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st rowbus
2nd rowtram
3rd rowbus
4th rowbus
5th rowmetroB

Common Values

ValueCountFrequency (%)
bus 7124
86.5%
train 590
 
7.2%
tram 248
 
3.0%
undefined 184
 
2.2%
trolleybus 27
 
0.3%
metroB 21
 
0.3%
metroC 17
 
0.2%
metroA 15
 
0.2%
ferry 3
 
< 0.1%
metroBC 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Length

2025-07-24T11:45:33.806920image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
bus 7124
86.5%
train 590
 
7.2%
tram 248
 
3.0%
undefined 184
 
2.2%
trolleybus 27
 
0.3%
metrob 21
 
0.3%
metroc 17
 
0.2%
metroa 15
 
0.2%
ferry 3
 
< 0.1%
metrobc 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
u 7335
26.6%
b 7151
25.9%
s 7151
25.9%
n 958
 
3.5%
r 927
 
3.4%
t 921
 
3.3%
a 838
 
3.0%
i 774
 
2.8%
e 454
 
1.6%
d 368
 
1.3%
Other values (8) 717
 
2.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 27594
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
u 7335
26.6%
b 7151
25.9%
s 7151
25.9%
n 958
 
3.5%
r 927
 
3.4%
t 921
 
3.3%
a 838
 
3.0%
i 774
 
2.8%
e 454
 
1.6%
d 368
 
1.3%
Other values (8) 717
 
2.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 27594
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
u 7335
26.6%
b 7151
25.9%
s 7151
25.9%
n 958
 
3.5%
r 927
 
3.4%
t 921
 
3.3%
a 838
 
3.0%
i 774
 
2.8%
e 454
 
1.6%
d 368
 
1.3%
Other values (8) 717
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 27594
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
u 7335
26.6%
b 7151
25.9%
s 7151
25.9%
n 958
 
3.5%
r 927
 
3.4%
t 921
 
3.3%
a 838
 
3.0%
i 774
 
2.8%
e 454
 
1.6%
d 368
 
1.3%
Other values (8) 717
 
2.6%

stops
Text

Unique 

Distinct8232
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size20.7 MiB
2025-07-24T11:45:34.053693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length11009
Median length2263
Mean length856.53754
Min length241

Characters and Unicode

Total characters7051017
Distinct characters106
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8232 ?
Unique (%)100.0%

Sample

1st row[{'id': '7288/1', 'platform': '1', 'altIdosName': 'Adamov', 'lat': 49.8581047, 'lon': 15.4081345, 'jtskX': -675931.563, 'jtskY': -1077494.13, 'zone': '8', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U7288Z1'], 'lines': [{'id': 740, 'name': '740', 'type': 'bus', 'direction': 'Okřesaneč', 'direction2': 'Golčův Jeníkov,nám.TGM'}, {'id': 740, 'name': '740', 'type': 'bus', 'direction': 'Čáslav,žel.st.', 'direction2': 'Čáslav,aut.st.'}, {'id': 741, 'name': '741', 'type': 'bus', 'direction': 'Čáslav,žel.st.', 'direction2': 'Čáslav,aut.st.'}]}]
2nd row[{'id': '876/1', 'platform': 'A', 'altIdosName': 'Albertov', 'lat': 50.0672455, 'lon': 14.421648, 'jtskX': -743088.4, 'jtskY': -1045244.69, 'zone': 'P', 'mainTrafficType': 'tram', 'wheelchairAccess': 'possible', 'gtfsIds': ['U876Z1P'], 'lines': [{'id': 7, 'name': '7', 'type': 'tram', 'direction': 'Radlická'}, {'id': 14, 'name': '14', 'type': 'tram', 'direction': 'Vozovna Kobylisy'}, {'id': 18, 'name': '18', 'type': 'tram', 'direction': 'Nádraží Podbaba'}, {'id': 93, 'name': '93', 'type': 'tram', 'isNight': True, 'direction': 'Sídliště Ďáblice'}, {'id': 95, 'name': '95', 'type': 'tram', 'isNight': True, 'direction': 'Vozovna Kobylisy'}]}, {'id': '876/2', 'platform': 'B', 'altIdosName': 'Albertov', 'lat': 50.0686836, 'lon': 14.4204521, 'jtskX': -743151.3, 'jtskY': -1045074.5, 'zone': 'P', 'mainTrafficType': 'tram', 'wheelchairAccess': 'possible', 'gtfsIds': ['U876Z2P'], 'lines': [{'id': 14, 'name': '14', 'type': 'tram', 'direction': 'Spořilov'}, {'id': 18, 'name': '18', 'type': 'tram', 'direction': 'Vozovna Pankrác'}, {'id': 93, 'name': '93', 'type': 'tram', 'isNight': True, 'direction': 'Vozovna Pankrác'}, {'id': 95, 'name': '95', 'type': 'tram', 'isNight': True, 'direction': 'Ústřední dílny DP'}]}, {'id': '876/4', 'platform': 'D', 'altIdosName': 'Albertov', 'lat': 50.06782, 'lon': 14.4202976, 'jtskX': -743175.3, 'jtskY': -1045168.13, 'zone': 'P', 'mainTrafficType': 'tram', 'wheelchairAccess': 'possible', 'gtfsIds': ['U876Z4P'], 'lines': [{'id': 7, 'name': '7', 'type': 'tram', 'direction': 'Lehovec'}]}]
3rd row[{'id': '1274/1', 'platform': 'A', 'altIdosName': 'Ametystová', 'lat': 49.9882, 'lon': 14.3622169, 'jtskX': -748508.3, 'jtskY': -1053371.25, 'zone': 'P', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U1274Z1P'], 'lines': [{'id': 245, 'name': '245', 'type': 'bus', 'direction': 'Lahovská'}]}]
4th row[{'id': '1029/1', 'platform': 'A', 'altIdosName': 'Amforová', 'lat': 50.04185, 'lon': 14.3272839, 'jtskX': -750168.7, 'jtskY': -1047117.0, 'zone': 'P,0', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U1029Z1P', 'U1029Z1'], 'lines': [{'id': 174, 'name': '174', 'type': 'bus', 'direction': 'Vypich'}, {'id': 219, 'name': '219', 'type': 'bus', 'direction': 'Jinonice'}, {'id': 225, 'name': '225', 'type': 'bus', 'direction': 'Sídliště Na Dědině'}, {'id': 299, 'name': 'X301', 'type': 'bus', 'direction': 'Praha,Luka'}, {'id': 301, 'name': '301', 'type': 'bus', 'direction': 'Praha,Luka'}, {'id': 352, 'name': '352', 'type': 'bus', 'direction': 'Praha,Luka'}, {'id': 902, 'name': '902', 'type': 'bus', 'isNight': True, 'direction': 'Lysolaje'}, {'id': 904, 'name': '904', 'type': 'bus', 'isNight': True, 'direction': 'Sídliště Řepy'}]}, {'id': '1029/2', 'platform': 'B', 'altIdosName': 'Amforová', 'lat': 50.0417061, 'lon': 14.3273125, 'jtskX': -750168.8, 'jtskY': -1047133.13, 'zone': 'P,0', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U1029Z2P', 'U1029Z2'], 'lines': [{'id': 174, 'name': '174', 'type': 'bus', 'direction': 'Řeporyjské náměstí'}, {'id': 219, 'name': '219', 'type': 'bus', 'direction': 'Malá Ohrada'}, {'id': 225, 'name': '225', 'type': 'bus', 'direction': 'Velká Ohrada'}, {'id': 299, 'name': 'X301', 'type': 'bus', 'direction': 'Ořech'}, {'id': 301, 'name': '301', 'type': 'bus', 'direction': 'Ořech'}, {'id': 352, 'name': '352', 'type': 'bus', 'direction': 'Zbuzany,Obecní úřad', 'direction2': 'Chýnice'}, {'id': 902, 'name': '902', 'type': 'bus', 'isNight': True, 'direction': 'Řeporyjské náměstí', 'direction2': 'Třebonice'}, {'id': 904, 'name': '904', 'type': 'bus', 'isNight': True, 'direction': 'Sídliště Písnice'}]}]
5th row[{'id': '1040/1', 'platform': 'A', 'altIdosName': 'Anděl (ul. Plzeňská)', 'lat': 50.07193, 'lon': 14.4036312, 'jtskX': -744294.938, 'jtskY': -1044552.69, 'zone': 'P', 'mainTrafficType': 'tram', 'wheelchairAccess': 'possible', 'gtfsIds': ['U1040Z1P'], 'lines': [{'id': 4, 'name': '4', 'type': 'tram', 'direction': 'Kubánské náměstí'}, {'id': 7, 'name': '7', 'type': 'tram', 'direction': 'Lehovec'}, {'id': 9, 'name': '9', 'type': 'tram', 'direction': 'Spojovací'}, {'id': 10, 'name': '10', 'type': 'tram', 'direction': 'Sídliště Ďáblice'}, {'id': 12, 'name': '12', 'type': 'tram', 'direction': 'Lehovec'}, {'id': 15, 'name': '15', 'type': 'tram', 'direction': 'Olšanské hřbitovy'}, {'id': 16, 'name': '16', 'type': 'tram', 'direction': 'Ústřední dílny DP'}, {'id': 20, 'name': '20', 'type': 'tram', 'direction': 'Dědina'}, {'id': 94, 'name': '94', 'type': 'tram', 'isNight': True, 'direction': 'Lehovec'}, {'id': 98, 'name': '98', 'type': 'tram', 'isNight': True, 'direction': 'Spojovací'}, {'id': 99, 'name': '99', 'type': 'tram', 'isNight': True, 'direction': 'Zahradní Město'}, {'id': 904, 'name': '904', 'type': 'bus', 'isNight': True, 'direction': 'Sídliště Písnice'}, {'id': 907, 'name': '907', 'type': 'bus', 'isNight': True, 'direction': 'Letiště / Airport ✈'}, {'id': 908, 'name': '908', 'type': 'bus', 'isNight': True, 'direction': 'Klánovice', 'direction2': 'Michelangelova'}]}, {'id': '1040/2', 'platform': 'B', 'altIdosName': 'Anděl (ul. Plzeňská)', 'lat': 50.0719528, 'lon': 14.4028082, 'jtskX': -744352.938, 'jtskY': -1044541.94, 'zone': 'P', 'mainTrafficType': 'tram', 'wheelchairAccess': 'possible', 'gtfsIds': ['U1040Z2P'], 'lines': [{'id': 4, 'name': '4', 'type': 'tram', 'direction': 'Kotlářka'}, {'id': 7, 'name': '7', 'type': 'tram', 'direction': 'Radlická'}, {'id': 9, 'name': '9', 'type': 'tram', 'direction': 'Sídliště Řepy'}, {'id': 10, 'name': '10', 'type': 'tram', 'direction': 'Sídliště Řepy'}, {'id': 15, 'name': '15', 'type': 'tram', 'direction': 'Kotlářka'}, {'id': 16, 'name': '16', 'type': 'tram', 'direction': 'Kotlářka', 'direction2': 'Sídliště Řepy'}, {'id': 98, 'name': '98', 'type': 'tram', 'isNight': True, 'direction': 'Sídliště Řepy'}, {'id': 99, 'name': '99', 'type': 'tram', 'isNight': True, 'direction': 'Sídliště Řepy'}, {'id': 904, 'name': '904', 'type': 'bus', 'isNight': True, 'direction': 'Sídliště Řepy'}, {'id': 908, 'name': '908', 'type': 'bus', 'isNight': True, 'direction': 'Malvazinky'}]}, {'id': '1040/3', 'platform': 'C', 'altIdosName': 'Anděl (ul. Nádražní)', 'lat': 50.071804, 'lon': 14.4042282, 'jtskX': -744254.5, 'jtskY': -1044572.13, 'zone': 'P', 'mainTrafficType': 'tram', 'wheelchairAccess': 'possible', 'gtfsIds': ['U1040Z3P'], 'lines': [{'id': 94, 'name': '94', 'type': 'tram', 'isNight': True, 'direction': 'Lehovec'}]}, {'id': '1040/4', 'platform': 'D', 'altIdosName': 'Anděl (ul. Nádražní)', 'lat': 50.0709763, 'lon': 14.4045515, 'jtskX': -744244.2, 'jtskY': -1044666.56, 'zone': 'P', 'mainTrafficType': 'tram', 'wheelchairAccess': 'possible', 'gtfsIds': ['U1040Z4P'], 'lines': [{'id': 12, 'name': '12', 'type': 'tram', 'direction': 'Na Knížecí'}, {'id': 20, 'name': '20', 'type': 'tram', 'direction': 'Na Knížecí'}, {'id': 94, 'name': '94', 'type': 'tram', 'isNight': True, 'direction': 'Slivenec'}, {'id': 890, 'name': 'X90', 'type': 'bus', 'isNight': True, 'direction': 'Smíchovské nádraží'}, {'id': 901, 'name': '901', 'type': 'bus', 'isNight': True, 'direction': 'Skalka', 'direction2': 'Opatov'}, {'id': 907, 'name': '907', 'type': 'bus', 'isNight': True, 'direction': 'Baně'}]}, {'id': '1040/11', 'platform': 'H', 'altIdosName': 'Anděl', 'lat': 50.0717354, 'lon': 14.401951799999999, 'jtskX': -744416.938, 'jtskY': -1044557.69, 'zone': 'P', 'mainTrafficType': 'undefined', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U1040Z11P'], 'lines': []}, {'id': '1040/12', 'platform': 'F', 'altIdosName': 'Anděl (ul. Stroupežnického)', 'lat': 50.0715, 'lon': 14.4029293, 'jtskX': -744351.2, 'jtskY': -1044593.06, 'zone': 'P', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U1040Z12P'], 'lines': [{'id': 167, 'name': '167', 'type': 'bus', 'direction': 'Nemocnice Na Homolce'}]}, {'id': '1040/13', 'platform': 'M', 'altIdosName': 'Anděl (ul. Bozděchova)', 'lat': 50.0703926, 'lon': 14.4044228, 'jtskX': -744262.1, 'jtskY': -1044729.5, 'zone': 'P', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U1040Z13P'], 'lines': [{'id': 812, 'name': 'X12', 'type': 'bus', 'direction': 'Smíchovské nádraží'}]}, {'id': '1040/14', 'platform': 'G', 'altIdosName': 'Anděl (ul. Stroupežnického)', 'lat': 50.0715179, 'lon': 14.40265, 'jtskX': -744370.75, 'jtskY': -1044588.25, 'zone': 'P', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U1040Z14P'], 'lines': [{'id': 167, 'name': '167', 'type': 'bus', 'direction': 'Na Knížecí'}]}, {'id': '1040/101', 'platform': 'M1', 'altIdosName': 'Anděl', 'lat': 50.0695, 'lon': 14.4034872, 'jtskX': -744342.063, 'jtskY': -1044818.88, 'zone': 'P', 'mainTrafficType': 'metroB', 'wheelchairAccess': 'possible', 'gtfsIds': ['U1040Z101P'], 'lines': [{'id': 992, 'name': 'B', 'type': 'metro', 'direction': 'Zličín'}], 'isMetro': True}, {'id': '1040/102', 'platform': 'M2', 'altIdosName': 'Anděl', 'lat': 50.0704, 'lon': 14.4040508, 'jtskX': -744288.438, 'jtskY': -1044725.25, 'zone': 'P', 'mainTrafficType': 'metroB', 'wheelchairAccess': 'possible', 'gtfsIds': ['U1040Z102P'], 'lines': [{'id': 992, 'name': 'B', 'type': 'metro', 'direction': 'Černý Most'}], 'isMetro': True}]
ValueCountFrequency (%)
id 50559
 
7.2%
bus 44215
 
6.3%
direction 34181
 
4.9%
type 34181
 
4.9%
name 34181
 
4.9%
altidosname 16378
 
2.3%
lat 16378
 
2.3%
lon 16378
 
2.3%
jtskx 16378
 
2.3%
lines 16378
 
2.3%
Other values (106672) 419765
60.1%
2025-07-24T11:45:34.437471image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
' 1134252
 
16.1%
690740
 
9.8%
, 357776
 
5.1%
: 342727
 
4.9%
e 286325
 
4.1%
i 247190
 
3.5%
n 226638
 
3.2%
t 221821
 
3.1%
s 214620
 
3.0%
a 210041
 
3.0%
Other values (96) 3118887
44.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7051017
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
' 1134252
 
16.1%
690740
 
9.8%
, 357776
 
5.1%
: 342727
 
4.9%
e 286325
 
4.1%
i 247190
 
3.5%
n 226638
 
3.2%
t 221821
 
3.1%
s 214620
 
3.0%
a 210041
 
3.0%
Other values (96) 3118887
44.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7051017
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
' 1134252
 
16.1%
690740
 
9.8%
, 357776
 
5.1%
: 342727
 
4.9%
e 286325
 
4.1%
i 247190
 
3.5%
n 226638
 
3.2%
t 221821
 
3.1%
s 214620
 
3.0%
a 210041
 
3.0%
Other values (96) 3118887
44.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7051017
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
' 1134252
 
16.1%
690740
 
9.8%
, 357776
 
5.1%
: 342727
 
4.9%
e 286325
 
4.1%
i 247190
 
3.5%
n 226638
 
3.2%
t 221821
 
3.1%
s 214620
 
3.0%
a 210041
 
3.0%
Other values (96) 3118887
44.2%

isTrain
Categorical

Constant  Missing 

Distinct1
Distinct (%)0.2%
Missing7633
Missing (%)92.7%
Memory size448.0 KiB
1.0
599 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1797
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 599
 
7.3%
(Missing) 7633
92.7%

Length

2025-07-24T11:45:34.507231image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-24T11:45:34.544709image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.0 599
100.0%

Most occurring characters

ValueCountFrequency (%)
1 599
33.3%
. 599
33.3%
0 599
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1797
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 599
33.3%
. 599
33.3%
0 599
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1797
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 599
33.3%
. 599
33.3%
0 599
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1797
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 599
33.3%
. 599
33.3%
0 599
33.3%

Interactions

2025-07-24T11:45:29.094277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:26.811826image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:27.349920image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:27.763506image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:28.245919image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:28.679892image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:29.184773image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:26.894901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:27.421685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:27.842187image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:28.315935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:28.748982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:29.253321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:26.970489image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:27.486890image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:27.912248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:28.385249image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:28.814232image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:29.330453image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:27.139429image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:27.561025image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:27.995435image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:28.463520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:28.890797image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:29.405278image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:27.207666image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:27.628430image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:28.072474image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:28.534101image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:28.963585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:29.468693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:27.277693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:27.698580image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:28.169030image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:28.605315image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-24T11:45:29.027337image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-07-24T11:45:34.580340image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
avgJtskXavgJtskYavgLatavgLoncisdistrict_codeidosCategorymainTrafficTypenode
avgJtskX1.0000.0710.1970.993-0.0720.7290.0630.0750.055
avgJtskY0.0711.0000.989-0.0340.0420.6960.0880.138-0.133
avgLat0.1970.9891.0000.0920.0400.7340.0830.121-0.146
avgLon0.993-0.0340.0921.000-0.0800.6920.0860.0810.075
cis-0.0720.0420.040-0.0801.0000.1720.9990.992-0.334
district_code0.7290.6960.7340.6920.1721.0000.1720.1520.646
idosCategory0.0630.0880.0830.0860.9990.1721.0000.9920.088
mainTrafficType0.0750.1380.1210.0810.9920.1520.9921.0000.139
node0.055-0.133-0.1460.075-0.3340.6460.0880.1391.000

Missing values

2025-07-24T11:45:29.582465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-07-24T11:45:29.695911image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

stop_namedistrict_codeidosCategoryidosNamefullNameuniqueNamenodecisavgLatavgLonavgJtskXavgJtskYmunicipalitymainTrafficTypestopsisTrain
0AdamovKH301003AdamovAdamovAdamov72883349.85810515.408134-675931.563-1077494.13Adamovbus[{'id': '7288/1', 'platform': '1', 'altIdosName': 'Adamov', 'lat': 49.8581047, 'lon': 15.4081345, 'jtskX': -675931.563, 'jtskY': -1077494.13, 'zone': '8', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U7288Z1'], 'lines': [{'id': 740, 'name': '740', 'type': 'bus', 'direction': 'Okřesaneč', 'direction2': 'Golčův Jeníkov,nám.TGM'}, {'id': 740, 'name': '740', 'type': 'bus', 'direction': 'Čáslav,žel.st.', 'direction2': 'Čáslav,aut.st.'}, {'id': 741, 'name': '741', 'type': 'bus', 'direction': 'Čáslav,žel.st.', 'direction2': 'Čáslav,aut.st.'}]}]NaN
1AlbertovAB301003AlbertovAlbertovAlbertov8765893650.06791714.420799-743138.300-1045162.44Prahatram[{'id': '876/1', 'platform': 'A', 'altIdosName': 'Albertov', 'lat': 50.0672455, 'lon': 14.421648, 'jtskX': -743088.4, 'jtskY': -1045244.69, 'zone': 'P', 'mainTrafficType': 'tram', 'wheelchairAccess': 'possible', 'gtfsIds': ['U876Z1P'], 'lines': [{'id': 7, 'name': '7', 'type': 'tram', 'direction': 'Radlická'}, {'id': 14, 'name': '14', 'type': 'tram', 'direction': 'Vozovna Kobylisy'}, {'id': 18, 'name': '18', 'type': 'tram', 'direction': 'Nádraží Podbaba'}, {'id': 93, 'name': '93', 'type': 'tram', 'isNight': True, 'direction': 'Sídliště Ďáblice'}, {'id': 95, 'name': '95', 'type': 'tram', 'isNight': True, 'direction': 'Vozovna Kobylisy'}]}, {'id': '876/2', 'platform': 'B', 'altIdosName': 'Albertov', 'lat': 50.0686836, 'lon': 14.4204521, 'jtskX': -743151.3, 'jtskY': -1045074.5, 'zone': 'P', 'mainTrafficType': 'tram', 'wheelchairAccess': 'possible', 'gtfsIds': ['U876Z2P'], 'lines': [{'id': 14, 'name': '14', 'type': 'tram', 'direction': 'Spořilov'}, {'id': 18, 'name': '18', 'type': 'tram', 'direction': 'Vozovna Pankrác'}, {'id': 93, 'name': '93', 'type': 'tram', 'isNight': True, 'direction': 'Vozovna Pankrác'}, {'id': 95, 'name': '95', 'type': 'tram', 'isNight': True, 'direction': 'Ústřední dílny DP'}]}, {'id': '876/4', 'platform': 'D', 'altIdosName': 'Albertov', 'lat': 50.06782, 'lon': 14.4202976, 'jtskX': -743175.3, 'jtskY': -1045168.13, 'zone': 'P', 'mainTrafficType': 'tram', 'wheelchairAccess': 'possible', 'gtfsIds': ['U876Z4P'], 'lines': [{'id': 7, 'name': '7', 'type': 'tram', 'direction': 'Lehovec'}]}]NaN
2AmetystováAB301003AmetystováAmetystováAmetystová12745893749.98820014.362217-748508.300-1053371.25Prahabus[{'id': '1274/1', 'platform': 'A', 'altIdosName': 'Ametystová', 'lat': 49.9882, 'lon': 14.3622169, 'jtskX': -748508.3, 'jtskY': -1053371.25, 'zone': 'P', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U1274Z1P'], 'lines': [{'id': 245, 'name': '245', 'type': 'bus', 'direction': 'Lahovská'}]}]NaN
3AmforováAB301003AmforováAmforováAmforová10294771550.04178014.327298-750168.750-1047125.06Prahabus[{'id': '1029/1', 'platform': 'A', 'altIdosName': 'Amforová', 'lat': 50.04185, 'lon': 14.3272839, 'jtskX': -750168.7, 'jtskY': -1047117.0, 'zone': 'P,0', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U1029Z1P', 'U1029Z1'], 'lines': [{'id': 174, 'name': '174', 'type': 'bus', 'direction': 'Vypich'}, {'id': 219, 'name': '219', 'type': 'bus', 'direction': 'Jinonice'}, {'id': 225, 'name': '225', 'type': 'bus', 'direction': 'Sídliště Na Dědině'}, {'id': 299, 'name': 'X301', 'type': 'bus', 'direction': 'Praha,Luka'}, {'id': 301, 'name': '301', 'type': 'bus', 'direction': 'Praha,Luka'}, {'id': 352, 'name': '352', 'type': 'bus', 'direction': 'Praha,Luka'}, {'id': 902, 'name': '902', 'type': 'bus', 'isNight': True, 'direction': 'Lysolaje'}, {'id': 904, 'name': '904', 'type': 'bus', 'isNight': True, 'direction': 'Sídliště Řepy'}]}, {'id': '1029/2', 'platform': 'B', 'altIdosName': 'Amforová', 'lat': 50.0417061, 'lon': 14.3273125, 'jtskX': -750168.8, 'jtskY': -1047133.13, 'zone': 'P,0', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U1029Z2P', 'U1029Z2'], 'lines': [{'id': 174, 'name': '174', 'type': 'bus', 'direction': 'Řeporyjské náměstí'}, {'id': 219, 'name': '219', 'type': 'bus', 'direction': 'Malá Ohrada'}, {'id': 225, 'name': '225', 'type': 'bus', 'direction': 'Velká Ohrada'}, {'id': 299, 'name': 'X301', 'type': 'bus', 'direction': 'Ořech'}, {'id': 301, 'name': '301', 'type': 'bus', 'direction': 'Ořech'}, {'id': 352, 'name': '352', 'type': 'bus', 'direction': 'Zbuzany,Obecní úřad', 'direction2': 'Chýnice'}, {'id': 902, 'name': '902', 'type': 'bus', 'isNight': True, 'direction': 'Řeporyjské náměstí', 'direction2': 'Třebonice'}, {'id': 904, 'name': '904', 'type': 'bus', 'isNight': True, 'direction': 'Sídliště Písnice'}]}]NaN
4AndělAB301003AndělAndělAnděl10405875950.07117014.403471-744317.800-1044634.63PrahametroB[{'id': '1040/1', 'platform': 'A', 'altIdosName': 'Anděl (ul. Plzeňská)', 'lat': 50.07193, 'lon': 14.4036312, 'jtskX': -744294.938, 'jtskY': -1044552.69, 'zone': 'P', 'mainTrafficType': 'tram', 'wheelchairAccess': 'possible', 'gtfsIds': ['U1040Z1P'], 'lines': [{'id': 4, 'name': '4', 'type': 'tram', 'direction': 'Kubánské náměstí'}, {'id': 7, 'name': '7', 'type': 'tram', 'direction': 'Lehovec'}, {'id': 9, 'name': '9', 'type': 'tram', 'direction': 'Spojovací'}, {'id': 10, 'name': '10', 'type': 'tram', 'direction': 'Sídliště Ďáblice'}, {'id': 12, 'name': '12', 'type': 'tram', 'direction': 'Lehovec'}, {'id': 15, 'name': '15', 'type': 'tram', 'direction': 'Olšanské hřbitovy'}, {'id': 16, 'name': '16', 'type': 'tram', 'direction': 'Ústřední dílny DP'}, {'id': 20, 'name': '20', 'type': 'tram', 'direction': 'Dědina'}, {'id': 94, 'name': '94', 'type': 'tram', 'isNight': True, 'direction': 'Lehovec'}, {'id': 98, 'name': '98', 'type': 'tram', 'isNight': True, 'direction': 'Spojovací'}, {'id': 99, 'name': '99', 'type': 'tram', 'isNight': True, 'direction': 'Zahradní Město'}, {'id': 904, 'name': '904', 'type': 'bus', 'isNight': True, 'direction': 'Sídliště Písnice'}, {'id': 907, 'name': '907', 'type': 'bus', 'isNight': True, 'direction': 'Letiště / Airport ✈'}, {'id': 908, 'name': '908', 'type': 'bus', 'isNight': True, 'direction': 'Klánovice', 'direction2': 'Michelangelova'}]}, {'id': '1040/2', 'platform': 'B', 'altIdosName': 'Anděl (ul. Plzeňská)', 'lat': 50.0719528, 'lon': 14.4028082, 'jtskX': -744352.938, 'jtskY': -1044541.94, 'zone': 'P', 'mainTrafficType': 'tram', 'wheelchairAccess': 'possible', 'gtfsIds': ['U1040Z2P'], 'lines': [{'id': 4, 'name': '4', 'type': 'tram', 'direction': 'Kotlářka'}, {'id': 7, 'name': '7', 'type': 'tram', 'direction': 'Radlická'}, {'id': 9, 'name': '9', 'type': 'tram', 'direction': 'Sídliště Řepy'}, {'id': 10, 'name': '10', 'type': 'tram', 'direction': 'Sídliště Řepy'}, {'id': 15, 'name': '15', 'type': 'tram', 'direction': 'Kotlářka'}, {'id': 16, 'name': '16', 'type': 'tram', 'direction': 'Kotlářka', 'direction2': 'Sídliště Řepy'}, {'id': 98, 'name': '98', 'type': 'tram', 'isNight': True, 'direction': 'Sídliště Řepy'}, {'id': 99, 'name': '99', 'type': 'tram', 'isNight': True, 'direction': 'Sídliště Řepy'}, {'id': 904, 'name': '904', 'type': 'bus', 'isNight': True, 'direction': 'Sídliště Řepy'}, {'id': 908, 'name': '908', 'type': 'bus', 'isNight': True, 'direction': 'Malvazinky'}]}, {'id': '1040/3', 'platform': 'C', 'altIdosName': 'Anděl (ul. Nádražní)', 'lat': 50.071804, 'lon': 14.4042282, 'jtskX': -744254.5, 'jtskY': -1044572.13, 'zone': 'P', 'mainTrafficType': 'tram', 'wheelchairAccess': 'possible', 'gtfsIds': ['U1040Z3P'], 'lines': [{'id': 94, 'name': '94', 'type': 'tram', 'isNight': True, 'direction': 'Lehovec'}]}, {'id': '1040/4', 'platform': 'D', 'altIdosName': 'Anděl (ul. Nádražní)', 'lat': 50.0709763, 'lon': 14.4045515, 'jtskX': -744244.2, 'jtskY': -1044666.56, 'zone': 'P', 'mainTrafficType': 'tram', 'wheelchairAccess': 'possible', 'gtfsIds': ['U1040Z4P'], 'lines': [{'id': 12, 'name': '12', 'type': 'tram', 'direction': 'Na Knížecí'}, {'id': 20, 'name': '20', 'type': 'tram', 'direction': 'Na Knížecí'}, {'id': 94, 'name': '94', 'type': 'tram', 'isNight': True, 'direction': 'Slivenec'}, {'id': 890, 'name': 'X90', 'type': 'bus', 'isNight': True, 'direction': 'Smíchovské nádraží'}, {'id': 901, 'name': '901', 'type': 'bus', 'isNight': True, 'direction': 'Skalka', 'direction2': 'Opatov'}, {'id': 907, 'name': '907', 'type': 'bus', 'isNight': True, 'direction': 'Baně'}]}, {'id': '1040/11', 'platform': 'H', 'altIdosName': 'Anděl', 'lat': 50.0717354, 'lon': 14.401951799999999, 'jtskX': -744416.938, 'jtskY': -1044557.69, 'zone': 'P', 'mainTrafficType': 'undefined', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U1040Z11P'], 'lines': []}, {'id': '1040/12', 'platform': 'F', 'altIdosName': 'Anděl (ul. Stroupežnického)', 'lat': 50.0715, 'lon': 14.4029293, 'jtskX': -744351.2, 'jtskY': -1044593.06, 'zone': 'P', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U1040Z12P'], 'lines': [{'id': 167, 'name': '167', 'type': 'bus', 'direction': 'Nemocnice Na Homolce'}]}, {'id': '1040/13', 'platform': 'M', 'altIdosName': 'Anděl (ul. Bozděchova)', 'lat': 50.0703926, 'lon': 14.4044228, 'jtskX': -744262.1, 'jtskY': -1044729.5, 'zone': 'P', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U1040Z13P'], 'lines': [{'id': 812, 'name': 'X12', 'type': 'bus', 'direction': 'Smíchovské nádraží'}]}, {'id': '1040/14', 'platform': 'G', 'altIdosName': 'Anděl (ul. Stroupežnického)', 'lat': 50.0715179, 'lon': 14.40265, 'jtskX': -744370.75, 'jtskY': -1044588.25, 'zone': 'P', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U1040Z14P'], 'lines': [{'id': 167, 'name': '167', 'type': 'bus', 'direction': 'Na Knížecí'}]}, {'id': '1040/101', 'platform': 'M1', 'altIdosName': 'Anděl', 'lat': 50.0695, 'lon': 14.4034872, 'jtskX': -744342.063, 'jtskY': -1044818.88, 'zone': 'P', 'mainTrafficType': 'metroB', 'wheelchairAccess': 'possible', 'gtfsIds': ['U1040Z101P'], 'lines': [{'id': 992, 'name': 'B', 'type': 'metro', 'direction': 'Zličín'}], 'isMetro': True}, {'id': '1040/102', 'platform': 'M2', 'altIdosName': 'Anděl', 'lat': 50.0704, 'lon': 14.4040508, 'jtskX': -744288.438, 'jtskY': -1044725.25, 'zone': 'P', 'mainTrafficType': 'metroB', 'wheelchairAccess': 'possible', 'gtfsIds': ['U1040Z102P'], 'lines': [{'id': 992, 'name': 'B', 'type': 'metro', 'direction': 'Černý Most'}], 'isMetro': True}]NaN
5Andělská Hora,dolní obecKV301003Andělská Hora,dolní obecAndělská Hora,dolní obecAndělská Hora,dolní obec3226610850.20808812.955097-844510.100-1014439.13Andělská Horabus[{'id': '32266/1', 'platform': 'A', 'altIdosName': 'Andělská Hora,dolní obec', 'lat': 50.2080421, 'lon': 12.9553576, 'jtskX': -844492.6, 'jtskY': -1014447.0, 'zone': '12', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U32266Z1'], 'lines': [{'id': 305, 'name': '305', 'type': 'bus', 'direction': 'Karlovy Vary,terminál'}]}, {'id': '32266/2', 'platform': 'B', 'altIdosName': 'Andělská Hora,dolní obec', 'lat': 50.2081337, 'lon': 12.9548378, 'jtskX': -844527.6, 'jtskY': -1014431.19, 'zone': '12', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U32266Z2'], 'lines': [{'id': 305, 'name': '305', 'type': 'bus', 'direction': 'Praha,Zličín'}]}]NaN
6Andělská Hora,horní obecKV301003Andělská Hora,horní obecAndělská Hora,horní obecAndělská Hora,horní obec3226510950.20454412.961039-844152.563-1014894.25Andělská Horabus[{'id': '32265/1', 'platform': 'A', 'altIdosName': 'Andělská Hora,horní obec', 'lat': 50.2042961, 'lon': 12.96137, 'jtskX': -844133.5, 'jtskY': -1014925.44, 'zone': '12', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U32265Z1'], 'lines': [{'id': 305, 'name': '305', 'type': 'bus', 'direction': 'Karlovy Vary,terminál'}]}, {'id': '32265/2', 'platform': 'B', 'altIdosName': 'Andělská Hora,horní obec', 'lat': 50.2047958, 'lon': 12.9607067, 'jtskX': -844171.6, 'jtskY': -1014863.13, 'zone': '12', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U32265Z2'], 'lines': [{'id': 305, 'name': '305', 'type': 'bus', 'direction': 'Praha,Zličín'}]}]NaN
7Andělská Hora,chatyKV301003Andělská Hora,chatyAndělská Hora,chatyAndělská Hora,chaty3226711050.20709612.944674-845262.250-1014432.13Andělská Horabus[{'id': '32267/1', 'platform': 'A', 'altIdosName': 'Andělská Hora,chaty', 'lat': 50.2071533, 'lon': 12.9447794, 'jtskX': -845253.8, 'jtskY': -1014427.0, 'zone': '12', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U32267Z1'], 'lines': [{'id': 305, 'name': '305', 'type': 'bus', 'direction': 'Karlovy Vary,terminál'}]}, {'id': '32267/2', 'platform': 'B', 'altIdosName': 'Andělská Hora,chaty', 'lat': 50.20704, 'lon': 12.9445686, 'jtskX': -845270.7, 'jtskY': -1014437.25, 'zone': '12', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U32267Z2'], 'lines': [{'id': 305, 'name': '305', 'type': 'bus', 'direction': 'Praha,Zličín'}]}]NaN
8Andělská Hora,rozc.KV301003Andělská Hora,rozc.Andělská Hora,rozcestíAndělská Hora,rozc.3216311150.20036712.960086-844292.100-1015342.81Andělská Horabus[{'id': '32163/1', 'platform': 'A', 'altIdosName': 'Andělská Hora,rozc.', 'lat': 50.2004471, 'lon': 12.9601526, 'jtskX': -844286.0, 'jtskY': -1015334.75, 'zone': '12', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U32163Z1'], 'lines': [{'id': 305, 'name': '305', 'type': 'bus', 'direction': 'Karlovy Vary,terminál'}]}, {'id': '32163/2', 'platform': 'B', 'altIdosName': 'Andělská Hora,rozc.', 'lat': 50.2002869, 'lon': 12.9600191, 'jtskX': -844298.2, 'jtskY': -1015350.88, 'zone': '12', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U32163Z2'], 'lines': [{'id': 305, 'name': '305', 'type': 'bus', 'direction': 'Praha,Zličín'}]}]NaN
9Antala StaškaAB301003Antala StaškaAntala StaškaAntala Staška9505740550.04160714.444363-741865.200-1048291.00Prahabus[{'id': '950/1', 'platform': 'A', 'altIdosName': 'Antala Staška', 'lat': 50.0416946, 'lon': 14.4443111, 'jtskX': -741867.5, 'jtskY': -1048280.69, 'zone': 'P', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U950Z1P'], 'lines': [{'id': 121, 'name': '121', 'type': 'bus', 'direction': 'Nádraží Braník'}, {'id': 124, 'name': '124', 'type': 'bus', 'direction': 'Zelený pruh'}, {'id': 134, 'name': '134', 'type': 'bus', 'direction': 'Dvorce'}, {'id': 170, 'name': '170', 'type': 'bus', 'direction': 'Pražská čtvrť'}, {'id': 914, 'name': '914', 'type': 'bus', 'isNight': True, 'direction': 'Smíchovské nádraží'}]}, {'id': '950/2', 'platform': 'B', 'altIdosName': 'Antala Staška', 'lat': 50.04152, 'lon': 14.4444151, 'jtskX': -741862.9, 'jtskY': -1048301.31, 'zone': 'P', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U950Z2P'], 'lines': [{'id': 121, 'name': '121', 'type': 'bus', 'direction': 'Poliklinika Budějovická'}, {'id': 124, 'name': '124', 'type': 'bus', 'direction': 'Želivského'}, {'id': 134, 'name': '134', 'type': 'bus', 'direction': 'Podolská vodárna'}, {'id': 170, 'name': '170', 'type': 'bus', 'direction': 'Jižní Město'}, {'id': 914, 'name': '914', 'type': 'bus', 'isNight': True, 'direction': 'Vinoř'}]}]NaN
stop_namedistrict_codeidosCategoryidosNamefullNameuniqueNamenodecisavgLatavgLonavgJtskXavgJtskYmunicipalitymainTrafficTypestopsisTrain
8222Žleby,Markovice,lomKH301003Žleby,Markovice,lomŽleby,Markovice,lomŽleby,Markovice,lom72294298349.89611015.459562-671743.75-1073754.00Žlebybus[{'id': '7229/1', 'platform': '1', 'altIdosName': 'Žleby,Markovice,lom', 'lat': 49.8960342, 'lon': 15.4595928, 'jtskX': -671742.563, 'jtskY': -1073762.38, 'zone': '9', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U7229Z1'], 'lines': [{'id': 780, 'name': '780', 'type': 'bus', 'direction': 'Žleby,Šumava'}]}, {'id': '7229/2', 'platform': '2', 'altIdosName': 'Žleby,Markovice,lom', 'lat': 49.896183, 'lon': 15.4595308, 'jtskX': -671744.938, 'jtskY': -1073745.5, 'zone': '9', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U7229Z2'], 'lines': [{'id': 780, 'name': '780', 'type': 'bus', 'direction': 'Čáslav,žel.st.', 'direction2': 'Čáslav,aut.st.'}]}]NaN
8223Žleby,nám.KH301003Žleby,nám.Žleby,náměstíŽleby,nám.72264297849.88915015.484407-670066.80-1074740.75Žlebybus[{'id': '7226/1', 'platform': '1', 'altIdosName': 'Žleby,nám.', 'lat': 49.88912, 'lon': 15.484478, 'jtskX': -670062.25, 'jtskY': -1074744.75, 'zone': '9', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U7226Z1'], 'lines': [{'id': 780, 'name': '780', 'type': 'bus', 'direction': 'Žleby,Šumava'}, {'id': 781, 'name': '781', 'type': 'bus', 'direction': 'Čáslav,žel.st.'}]}, {'id': '7226/2', 'platform': '2', 'altIdosName': 'Žleby,nám.', 'lat': 49.88918, 'lon': 15.4843378, 'jtskX': -670071.4, 'jtskY': -1074736.75, 'zone': '9', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U7226Z2'], 'lines': [{'id': 780, 'name': '780', 'type': 'bus', 'direction': 'Čáslav,žel.st.', 'direction2': 'Čáslav,aut.st.'}, {'id': 781, 'name': '781', 'type': 'bus', 'direction': 'Potěhy', 'direction2': 'Žleby,Kamenné Mosty'}]}]NaN
8224Žleby,SibiřKH301003Žleby,SibiřŽleby,SibiřŽleby,Sibiř72274297949.88916415.471287-671002.25-1074623.75Žlebybus[{'id': '7227/1', 'platform': '1', 'altIdosName': 'Žleby,Sibiř', 'lat': 49.88904, 'lon': 15.4715, 'jtskX': -670988.75, 'jtskY': -1074639.13, 'zone': '9', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U7227Z1'], 'lines': [{'id': 780, 'name': '780', 'type': 'bus', 'direction': 'Žleby,Šumava'}]}, {'id': '7227/2', 'platform': '2', 'altIdosName': 'Žleby,Sibiř', 'lat': 49.889286, 'lon': 15.4710741, 'jtskX': -671015.8, 'jtskY': -1074608.5, 'zone': '9', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U7227Z2'], 'lines': [{'id': 780, 'name': '780', 'type': 'bus', 'direction': 'Čáslav,žel.st.', 'direction2': 'Čáslav,aut.st.'}]}]NaN
8225Žleby,školaKH301003Žleby,školaŽleby,školaŽleby,škola72254298149.88929015.488659-669761.70-1074762.50Žlebybus[{'id': '7225/1', 'platform': '1', 'altIdosName': 'Žleby,škola', 'lat': 49.8892326, 'lon': 15.4886007, 'jtskX': -669766.6, 'jtskY': -1074768.63, 'zone': '9', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U7225Z1'], 'lines': [{'id': 780, 'name': '780', 'type': 'bus', 'direction': 'Žleby,Šumava'}, {'id': 781, 'name': '781', 'type': 'bus', 'direction': 'Čáslav,žel.st.'}]}, {'id': '7225/2', 'platform': '2', 'altIdosName': 'Žleby,škola', 'lat': 49.88935, 'lon': 15.4887171, 'jtskX': -669756.75, 'jtskY': -1074756.25, 'zone': '9', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U7225Z2'], 'lines': [{'id': 780, 'name': '780', 'type': 'bus', 'direction': 'Čáslav,žel.st.', 'direction2': 'Čáslav,aut.st.'}, {'id': 781, 'name': '781', 'type': 'bus', 'direction': 'Žleby,nám.', 'direction2': 'Potěhy'}]}]NaN
8226Žleby,ŠumavaKH301003Žleby,ŠumavaŽleby,ŠumavaŽleby,Šumava72434297749.89122815.490034-669637.40-1074561.00Žlebybus[{'id': '7243/1', 'platform': '1', 'altIdosName': 'Žleby,Šumava', 'lat': 49.8912, 'lon': 15.4899931, 'jtskX': -669640.6, 'jtskY': -1074563.5, 'zone': '9', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U7243Z1'], 'lines': [{'id': 780, 'name': '780', 'type': 'bus', 'direction': 'Čáslav,žel.st.', 'direction2': 'Čáslav,aut.st.'}, {'id': 781, 'name': '781', 'type': 'bus', 'direction': 'Žleby,nám.', 'direction2': 'Potěhy'}]}, {'id': '7243/2', 'platform': '2', 'altIdosName': 'Žleby,Šumava', 'lat': 49.89125, 'lon': 15.4900751, 'jtskX': -669634.1, 'jtskY': -1074558.63, 'zone': '9', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U7243Z2'], 'lines': [{'id': 781, 'name': '781', 'type': 'bus', 'direction': 'Čáslav,žel.st.'}]}]NaN
8227Žleby,ZehubyKH301003Žleby,ZehubyŽleby,ZehubyŽleby,Zehuby72454298549.87019315.482752-670442.75-1076818.50Žlebybus[{'id': '7245/3', 'platform': '3', 'altIdosName': 'Žleby,Zehuby', 'lat': 49.870224, 'lon': 15.482666, 'jtskX': -670448.5, 'jtskY': -1076814.5, 'zone': '9', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U7245Z3'], 'lines': [{'id': 781, 'name': '781', 'type': 'bus', 'direction': 'Čáslav,žel.st.'}, {'id': 781, 'name': '781', 'type': 'bus', 'direction': 'Potěhy'}]}, {'id': '7245/4', 'platform': '4', 'altIdosName': 'Žleby,Zehuby', 'lat': 49.8701668, 'lon': 15.4828386, 'jtskX': -670436.938, 'jtskY': -1076822.38, 'zone': '9', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U7245Z4'], 'lines': [{'id': 781, 'name': '781', 'type': 'bus', 'direction': 'Potěhy', 'direction2': 'Žleby,Kamenné Mosty'}, {'id': 781, 'name': '781', 'type': 'bus', 'direction': 'Čáslav,žel.st.'}]}]NaN
8228ŽloukoviceBE600003ŽloukoviceŽloukoviceŽloukovice3273547605450.01601813.955886-776917.90-1046235.75Nižbortrain[{'id': '3273/301', 'altIdosName': 'Žloukovice', 'lat': 50.0160179, 'lon': 13.9558859, 'jtskX': -776917.9, 'jtskY': -1046235.75, 'zone': '4', 'mainTrafficType': 'train', 'wheelchairAccess': 'notPossible', 'gtfsIds': ['U3273Z301'], 'lines': [{'id': 1375, 'name': 'S75', 'type': 'train', 'direction': 'Beroun'}, {'id': 1375, 'name': 'S75', 'type': 'train', 'direction': 'Rakovník'}]}]1.0
8229ŽluticeKV600003ŽluticeŽluticeŽlutice32362547336550.08460013.159661-832185.70-1030266.50Žluticetrain[{'id': '32362/301', 'altIdosName': 'Žlutice', 'lat': 50.0846, 'lon': 13.1596613, 'jtskX': -832185.7, 'jtskY': -1030266.5, 'zone': '11', 'mainTrafficType': 'train', 'wheelchairAccess': 'notPossible', 'gtfsIds': ['U32362Z301'], 'lines': [{'id': 1357, 'name': 'S57', 'type': 'train', 'direction': 'Rakovník'}]}]1.0
8230ŽupanovicePB301003ŽupanoviceŽupanoviceŽupanovice58704302749.70690014.298495-757349.90-1083728.63Županovicebus[{'id': '5870/1', 'platform': 'A', 'altIdosName': 'Županovice', 'lat': 49.7069, 'lon': 14.2984953, 'jtskX': -757349.9, 'jtskY': -1083728.63, 'zone': '6', 'mainTrafficType': 'bus', 'wheelchairAccess': 'notPossible', 'gtfsIds': ['U5870Z1'], 'lines': [{'id': 514, 'name': '514', 'type': 'bus', 'direction': 'Dobříš,nám.'}, {'id': 515, 'name': '515', 'type': 'bus', 'direction': 'Borotice,Čelina'}, {'id': 515, 'name': '515', 'type': 'bus', 'direction': 'Příbram,aut.nádr.'}]}]NaN
8231ŽvahovAB301003ŽvahovŽvahovŽvahov11555942050.04398714.401451-744874.00-1047610.00Prahabus[{'id': '1155/1', 'platform': 'A', 'altIdosName': 'Žvahov', 'lat': 50.0439873, 'lon': 14.4014511, 'jtskX': -744874.0, 'jtskY': -1047610.0, 'zone': 'P', 'mainTrafficType': 'bus', 'wheelchairAccess': 'unknown', 'gtfsIds': ['U1155Z1P'], 'lines': [{'id': 128, 'name': '128', 'type': 'bus', 'direction': 'Hlubočepy'}]}]NaN